A new phytopharmaceutical obtained from Polyalthia longifolia with Anti-dyslipidemic potential: Mechanistic pathway insights exploiting co-inverse miRNA-mRNA expression analysis.

Obesity and its associated metabolic disorders are significant global health challenges, necessitating novel therapeutic approaches. This study explores the anti-adipogenic and anti-dyslipidemic properties of 4655-EF, a novel phytopharmaceutical derived from Polyalthia longifolia, and explores the molecular pathways involved in its pharmacological activity. This phytopharmaceutical was prepared using a bioactivity-guided supercritical fluid extraction method suitable for large-scale production.

Van Wyk-Grumbach Syndrome with bilateral inguinal hernia: A case report.

Introduction: Van Wyk-Grumbach Syndrome (VWGS) is a rare pediatric endocrinological disorder characterized by hypothyroidism, delayed bone age, enlarged multicystic ovaries, and precocious puberty. It results from prolonged hypothyroidism, affecting the hypothalamic-pituitary-gonadal axis. This report describes a 7-year-old girl presenting with vaginal bleeding and abdominal pain, leading to a diagnosis of VWGS with bilateral inguinal hernia and requiring surgical intervention.

Generation of a human induced pluripotent stem cell (iPSC) line ERPLi004-A from an Alpha-1 antitrypsin deficiency (AATD) patient with SERPINA1 mutation.

Alpha-1 antitrypsin deficiency (AATD) is an autosomal disorder that causes liver and lung disease. The risk of developing lung emphysema, chronic obstructive pulmonary disorder and liver cirrhosis is observed in >75 % people affected with a homozygous mutation. Here, we describe the generation of an induced pluripotent stem cell (iPSC) line from peripheral blood mononuclear cells (PBMC) isolated from a AATD patient using non viral and non-integrating episomal vectors.

Exploring acemannan-loaded nanogel formulation for the treatment of IMQ-induced psoriasis-like inflammation: In vitro characterization and in vivo efficacy assessment.

This study aimed to explore a nanogel formulation containing acemannan as a carrier for the treatment of psoriasis-like skin inflammation. Several acemannan concentrations, such as F1 (2.5 %) and F2 (5 %), were used to prepare the nanogel formulation by homogenization.

Diagnostic utility of next-generation sequencing in neurological infections: Two cases in point.

We report the successful management of two cases of brain abscess and subdural empyema caused by Fusobacterium nucleatum and Streptococcus intermedius diagnosed using 16S ribosomal RNA (rRNA) sequencing where microbiological culture showed no growth. This report elucidates the utility of next-generation sequencing (NGS) in determining the microbial etiology and guiding appropriate antimicrobial treatment in life-threatening neurological infections.

Withania somnifera-derived phytochemicals as Bcl-B inhibitors in cancer therapy: A computational approach from byte to bench to bedside.

Cancer is the second foremost cause of fatalities associated with non-communicable diseases across the globe, affecting multiple organs and often necessitating costly treatments with adverse side effects. Apoptosis, the body's natural cell death process, plays a crucial role in the prevention of cancer, but it's often disrupted in cancer cells, allowing uncontrolled proliferation. Restoring apoptosis in cancer cells is one of the promising therapeutic strategies to curb tumor growth and enhance clinical outcomes.

A DFT study of pure and Si-decorated boron nitride allotrope Irida monolayer as an effective sensor for hydroxyurea drug.

Investigating effective nanomaterials for the detection of hydroxyurea anticancer drugs is essential for promoting human health and safeguarding environmental integrity. This research utilized first-principles estimations for examining the adhesion and electronic characteristics of hydroxyurea (HU) on both pristine and Si-decorated innovative two-dimensional boron nitride allotrope, known as Irida analogous (Ir-BNNS). Analyzing the adsorption energy revealed that the HU molecule has a significant interaction (E = -1.

First report of the chloroplast and mitochondrial genomes of the Indian pitcher plant, Nepenthes khasiana Hook.f.

Objectives: Nepenthes, sometimes known as tropical pitcher plants or monkey cups, is a carnivorous plant genus that contains more than 160 species. Nepenthes khasiana, India's sole representative of the genus, is a rare and endangered dioecious plant endemic to North-east India. Despite the fact that it is a prominent insectivorous plant in the Nepenthaceae family, genomic resources for the species are limited, making genomic breeding and understanding the genetic basis of botanical carnivory difficult.

Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model.

Background: Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). Traditional NER methods rely on dictionaries, rules, or curated corpora, which may not always be accessible. To overcome these challenges, deep learning (DL) methods have emerged.

Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid.

Low-frequency oscillations (LFO) are inherent to large interconnected power systems. Timely detection and mitigation of these oscillations is essential to maintain reliable power system operation. This paper presents a methodology to identify and mitigate low-frequency oscillations ( forced and inter-area) using a wide area monitoring system (WAMS) based power system model utilizing phasor measurement units (PMUs).

Non-targeted metabolomics reveals fatty acid and associated pathways driving resistance to whitefly and tomato leafminer in wild tomato accessions.

Wild tomato species exhibit natural insect resistance, yet the specific secondary metabolites and underlying mechanisms governing the resistance remain unclear. Moreover, defense expression dynamically adapts to insect herbivory, causing significant metabolic changes and species-specific secondary metabolite accumulation. The present study aims to identify the resistance-related metabolites in wild tomato accessions that influence the defense mechanism against whitefly (Bemisia tabaci Asia II 7) and leafminer (Phthorimaea absoluta).

Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach.

Over time, the importance of virtual power plants (VPP) has markedly risen to seamlessly incorporate the sporadic nature of renewable energy sources into the existing smart grid framework. Simultaneously, there is a growing need for advanced forecasting methods to bolster the grid's stability, flexibility, and dispatchability. This paper presents a dual-pronged, innovative approach to maximize income in the day-ahead power market through VPP.

Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus.

Meta-heuristic optimization algorithms are widely applied across various fields due to their intelligent behavior and fast convergence, but their use in optimizing engine behavior remains limited. This study addresses this gap by integrating the Design of Experiments-based Response Surface Methodology (RSM) with meta-heuristic optimization techniques to enhance engine performance and emissions characteristics using Tectona Grandi's biodiesel with Elaeocarpus Ganitrus as an additive. Advanced Machine Learning (ML) models, including Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), and Random Trees (RT), were employed for predictive analysis, with ANN outperforming RSM in accuracy.

Enhanced multifaceted model for plasmon-driven Schottky solar cells with integrated thermal effects.

This paper explores the development of an opto-thermal-electrical model for plasmonic Schottky solar cells (PSSCs) using a comprehensive multiphysics approach. We simulated the optical properties, power conversion efficiencies, and energy yield of PSSCs with varying nanoparticle (NP) configurations and sizes. Our spectral analysis focused on the absorption characteristics of these solar cells, examining systems sized 3 × 3, 5 × 5, and 7  × 7, with NP radii ranging from 10 to 150 nm.

Condensate droplet roaming on nanostructured superhydrophobic surfaces.

Jumping of coalescing condensate droplets from superhydrophobic surfaces is an interesting phenomenon which yields marked heat transfer enhancement over the more explored gravity-driven droplet removal mode in surface condensation, a phase change process of central interest to applications ranging from energy to water harvesting. However, when condensate microdroplets coalesce, they can also spontaneously propel themselves omnidirectionally on the surface independent of gravity and grow by feeding from droplets they sweep along the way. Here we observe and explain the physics behind this phenomenon of roaming of coalescing condensate microdroplets on solely nanostructured superhydrophobic surfaces, where the microdroplets are orders of magnitude larger than the underlaying surface nanotexture.

Site-specific substitution in atomically precise carboranethiol-protected nanoclusters and concomitant changes in electronic properties.

We report the synthesis of [Ag(o-CBT)] abbreviated as Ag, a stable 8e⁻ anionic cluster with a unique Ag@Ag@Ag core-shell structure, where o-CBT is ortho-carborane-1-thiol. By substituting Ag atoms with Au and/or Cu at specific sites we created isostructural clusters [AuAg(o-CBT)] (AuAg), [AgCu(o-CBT)] (AgCu) and [AuAgCu(o-CBT)] (AuAgCu). These substitutions make systematic modulation of their structural and electronic properties.

Bioconvection of a radiating and reacting nanofluid flow past a nonlinear stretchable permeable sheet in a porous medium.

This study evaluates the unsteady laminar flow and heat and mass transfer of a nanofluid in the appearance of gyrotactic microorganisms. In this analysis, using the Darcy-Forchheimer flow inside the vicinity of a nonlinearly stretched surface with Brownian motion and thermophoresis impacts. Similarity conversion is familiar with reduced governing models into dimensionless variables, and "bvp4c," a MATLAB solver, is employed to find the computational outputs of this analysis.

Advanced Peptide Nanozymes with Dual Antifungal Mechanisms: Cutting-Edge Innovations in Combatting Antimicrobial Resistance.

This letter commends the recent innovative research findings on "Dual-Action Antifungal Peptide Nanozymes: A Novel Approach to Combatting Antimicrobial Resistance." The study introduces a pioneering method to address antimicrobial resistance by developing peptide nanozymes that mimic antimicrobial peptides and enzymes through de novo design and peptide assembly. The heptapeptide IHIHICI, designed using AlphaFold2 and molecular dynamics simulations, exhibits high stability and dual antifungal actions, effectively killing over 90% of Candida albicans within 10 min.

Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate-N concentrations in the lower stretch of Ganga River, India.

Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Understanding the dynamics of nitrate-N concentration in rivers and its interactions with other water-quality parameters is crucial for effective freshwater ecosystem management. This study uses advanced machine learning models to analyse water quality parameters and predict nitrate-N concentrations in the lower stretch of the Ganga River from the observations of six annual periods (2017 to 2022).

Phytotoxic impact of di-butyl phthalate (DBP) on physiological, biochemical, and oxidative stress parameters of rice (Oryza sativa).

Phthalates are synthetic compounds, well-known plasticizers, with numerous applications and reported to have adverse effects on all living organisms residing in terrestrial and aquatic environments. In this study, the rice (Oryza sativa) seedlings were exposed to di-butyl phthalate (DBP) exogenously for 7 days, with varying concentrations of 0, 200, 400, 800, and 1600 mg/L, to explore the toxicological, physiological, and biochemical consequences by measuring various parameters such as pigment, lipid, and HO (hydrogen peroxide) contents. The biochemical analysis of seedlings showed that the pigments, lipids, and HO concentrations were altered abnormally.

Physiological impact of secondary nanoplastics on aquatic inhabitants in special reference to immunotoxicity.

Nanoplastic (NP) pollution poses serious health hazards to aquatic ecosystems, impacting various physiological systems of aquatic organisms. This review examines the complex interplay between NPs and different physiological systems. In the digestive system, NPs downregulate the hsp70-like gene in Mytilus galloprovincialis, leading to decreased metabolic processes and impaired digestion.

Explantation Mastopexy Using Long Superior Dermoglandular Flap: A Retrospective Analysis of our Technique.

Background: The 2021 ISAPS global survey shows a 49.6% rise in demand for breast implant explantation from 2017. The current challenge is to formulate a standardized technique of mastopexy after explantation, which counters the volume deficit and skin redundancy post removal of implant, giving aesthetically pleasing breast.

Exploring spatial dynamics of urbanization and solid waste generation in Kota city using the Google Earth Engine.

The current study investigates the relationship between urbanization, solid waste generation, and environmental changes in Kota city from 2000 to 2023. The study employs Google Earth Engine (GEE) to analyze land use and land cover (LULC) classification, normalized difference vegetation index (NDVI), normalized difference modified water index (NDMWI), normalized difference built-up index (NDBI), land surface temperature (LST), and predict future LULC changes up to 2043. The results show that the built-up area increased by 122.